Laser & Optoelectronics Progress, Volume. 61, Issue 21, 2114005(2024)

Parameter Modeling and Optimization of Laser Stereolithography Process for Alumina Ceramics

Zhao Zhang, Maomao Cui, Xiao Wang*, Wenkai Shen, Tao Wang, and Huixia Liu
Author Affiliations
  • School of Mechanical Engineering, Jiangsu University, Jiangsu 212013, Zhenjiang , China
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    To predict the flexural strength of stereolithography alumina ceramics and optimize the process parameters, a mathematical model is developed based on the response surface methodology. This model establishes the relationship between process parameters and the flexural strength of alumina bending specimens. Analysis of variance (ANOVA) and model validation is performed. The established model is used to analyze the effects and mechanisms of scanning speed, scanning spacing, slice thickness, and laser power, as well as their interactions on flexural strength of alumina ceramics, to determine the optimal response. The results show that the scanning spacing, scanning speed, laser power, and slice thickness significantly impact the flexural strength of alumina ceramics. The optimal combination of process parameters is scanning speed of 2382 mm/s, scanning spacing of 0.128 mm, slice thickness of 0.127 mm, and laser power of 206 mW. The flexural strength at this parameter combination is 302 MPa. The results of ANOVA and model validation demonstrate that the predicted values of the model closely match the real values, indicating high reliability.This model has good guiding significance for improving the mechanical properties of stereolithography alumina ceramics.

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    Zhao Zhang, Maomao Cui, Xiao Wang, Wenkai Shen, Tao Wang, Huixia Liu. Parameter Modeling and Optimization of Laser Stereolithography Process for Alumina Ceramics[J]. Laser & Optoelectronics Progress, 2024, 61(21): 2114005

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    Paper Information

    Category: Lasers and Laser Optics

    Received: Jan. 25, 2024

    Accepted: Mar. 12, 2024

    Published Online: Nov. 15, 2024

    The Author Email: Xiao Wang (wx@ujs.edu.cn)

    DOI:10.3788/LOP240599

    CSTR:32186.14.LOP240599

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